AI Workflows
AI automation for operations teams
We build agentic AI workflows that keep operations moving: supplier updates, data entry between systems, status reports and document processing. The agent handles the copying, chasing and summarising, so your team can deal with the exceptions.
What we build
Workflows that fit how your team already works
Supplier and partner updates
Reads incoming emails and documents, pulls out the dates, prices and changes, and updates your tracker or flags what needs a decision.
Data entry between systems
Moves information from forms, emails and PDFs into the system where it belongs, and checks it against the rules you set.
Weekly status reports
Gathers updates from the people and tools involved and writes one clear status report, with risks and blockers at the top.
Document processing
Reads contracts, booking confirmations or delivery notes, extracts the details you need and spots anything that does not match.
What stays with your team
The agent does the legwork. People make the calls.
- Decisions on exceptions, suppliers and priorities stay with your team.
- The agent shows its working, so anyone can check where a figure came from.
- Changes to live systems start in a test area and only go live once you are happy.
Every workflow is built on tools you already use and handed over with training. See how an AI workflow project runs, from the first call to handover.
Questions people ask
What makes a good first operations workflow?
A task that happens every week, follows roughly the same steps, and currently means copying information from one place to another. Those pay back fastest.
Can it work across several systems?
Yes. Connecting the tools you already use is the core of the build. Anything without a way to connect is handled by email or file export instead.
How long does a build take?
It depends on the workflow. We agree the timeline in the scope, before any build starts.
Where does your team lose the most time?
Book a 30-minute call. We will help you pick the workflow with the clearest payback.
Would your team rather learn to build these themselves? See AI training for employees.